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Brand Imagery Reporting (BX)

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Common Imagery Reporting

Imagery reporting focuses on a consumer’s perceptions of a brand through the brand’s association with relevant attributes. It analyzes the aggregate beliefs, ideas, and impressions consumers hold regarding the brand, and helps brands understand their position in the marketplace. Here are several imagery statement examples:

  • “[Brand] is good value for the money.”
  • “[Brand] is for people like me.”
  • “[Brand] is a brand I love.”
  • “[Brand] is a brand that really understands me.”

Imagery statements will vary from client to client and from industry to industry. They will be tied closely to the brand and its advertising strategy.

Auto-Generated Content

The Setup Assistant in the Brand Tracker project allows you to add brands and imagery statements with a maximum of 30 brands and 30 imagery statements. Once these are entered and the setup is completed, the following are created for you:

  • Questions for each imagery statement, listing the brands as answer options.
  • Carry forward, so that respondents won’t be asked to rate brands they’re unaware of.
  • Custom metrics to make imagery attributes compatible with certain widgets.

In addition, these dashboard pages are created:

  • Imagery: Includes an attribute bar and trending chart for every brand and attribute, in both orientations (by attribute and by brand). You or the customer can delete out the orientation that is unnecessary. As part of the setup for this page, all related data mappings and custom metrics are auto-generated.
  • Correspondence Analysis: Includes a Correspondence Analysis widget showing data for all brands and imagery attributes. As part of the setup, all related data mappings are auto-generated.
  • Overview: A general overview page that also includes a few Simple Charts (an attribute bar and trending line chart) for just your brand.
Attention: If changes are made to the imagery questions or the brand list after the Setup Assistant is completed, then the survey and these dashboard pages will need to be updated manually.

Widgets Commonly Used for Imagery Reporting

Simple Charts

A variety of Simple Chart widgets can be used to report on brand imagery.

The simplest are charts where the data is displayed as either competitive or standalone bar charts for each brand or attribute. These are usually accompanied by line charts that display trends for the same data. Competitive charts are organized by attribute, with percentages shown for each brand.

Horizontal bar chart to left, line chart to right

Standalone charts are organized by brand, with percentages shown for each attribute. The percentages are the number of respondents who consider that brand to be associated with that attribute. Generally, the base size in the calculation is the number of people who were aware of the brand to begin with.

Qtip: An issue with this type of reporting is the brand size effect. Essentially, users of a brand are more likely to give a response about that brand in a survey than former users and those who have never used the brand. This means that bigger brands get more responses than smaller brands, almost regardless of the brand attribute. This skews the brand image in favor of bigger brands. We have two widget types that help address this brand size effect: The Correspondence Analysis widget and the Brand Imagery widget.

Correspondence Analysis Widget

Correspondence analysis (also known as perceptual mapping) is a great tool to identify relationships between and within brands and different attributes, and its analytical approach removes the brand size effect. It can also help clients see the relative perceptions of these brands and how the client’s brand compares with competitors.

Correspondence analysis widget looks like a scatter plot

This widget takes the form of a scatter plot, with brands and attributes plotted as dots along the graph. We can analyze relationships between different brands based on their proximity to one another—the closer, the more similarly they are perceived by respondents.

Distinctive Image Associations Widget

Distinctive image associations is the process of deriving true brand-attribute associations by adjusting brand image ratings to account for brand size and attribute importance. It is an insightful analysis tool used to determine how a brand is positioned relative to its competitors across all attributes.

Brand imagery widgets look like horizontal bar charts, but with a focal point - a vertical line represents zero, and how far the bar comes out on either side represents positive or negative association

This widget calculates the expected image data values for each brand-attribute pairing (taking into account both brand size and attribute importance) and then displays the deviation from that expected value. The calculation is similar to the underlying calculation in the Correspondence Analysis widget, but the display indicates where a brand scored lower or higher than expected. Differences greater than ±5 are considered significant.

Radar Chart Widget

The Radar Chart widget is a two-dimensional chart designed to plot one or more series of brand associations by providing an axis for each brand attribute present in the survey, arranged radially as equi-angular spokes around a central point. The values for adjacent attributes in a single series are connected by lines, which creates a “brand profile” view that can be useful to look at. These high-level profiles can help you visually diagnose what a brand stands for, simply by looking at the overall footprint of the brand of interest relative to its competitors.

Radar chart

Survey Setup

Qtip: Remember, the Brand Tracker’s setup assistant will generate this content for you. You just need to decide what kind of imagery attributes you’d like to include.

The recommended imagery question format is a Multiple Choice question in Multiple Answer format, where you ask about each attribute in a separate question and provide a list of the brands the respondent is aware of.

Question in multiple select format with the brands as answers, and a green carry. forward module on top of the question

Whether oriented by brand or attribute, this question type is compatible with all imagery chart types.

Qtip: Matrix Tables in Multiple Answer format are also compatible, though not recommended since the tendency of respondents straightlining is much higher.

Customizing with Scales

Qtip: This content is not generated by the auto-setup assistant.

You may want greater granularity in their imagery data than offered by Multiple Answer questions, and so prefer scales. These should be Multiple Choice questions in single answer format.

From extremely well to not well at all

Qtip: Be careful – scale questions can easily increase the time it takes for respondents to complete the survey, since they will be repeated per attribute per brand. Condensing into a Matrix Table is also not recommended, since this will not decrease the time spent completing the survey, but does increase straightlining.
Qtip: The scale-style setup is compatible with Simple Charts and Radar Charts, but not Correspondence Analysis or Brand Image Profile.

Custom Metrics in the Dashboard

Qtip: Remember, the Brand Tracker’s setup assistant will generate this content for you. This guide is here in case you want to do manual customization.

Custom metrics

Let’s move to the dashboard. When reporting on imagery attributes in Simple Charts, the base size needs to be set to the number of people who were aware of the brand. To do this, you need to create a custom metric for each brand for each imagery attribute.

Example: Let’s say you have ten brands and fifteen imagery attributes. This means you will ultimately create 150 custom metrics.

For these imagery metrics, create a custom metric that takes the number of people who selected that brand in that attribute question and divide by the number of respondents aware of the brand.

  1. Decide on a brand and an attribute you are working on. In this example, we will focus on the attribute “offers a good value for the money” for the brand “Gartells.”
  2. Add a Count metric.
    Custom metric named Gartells offers a good value for the money; it is set equal to Count / Count, with the slash representing division
  3. Divide it by another Count metric.
  4. Click on the numerator (top) Count.
    Click count, a menu expands; in this menu there is a filter tab, where you can click add filter
  5. Go to the filter tab.
  6. Choose the imagery attribute (e.g., “imag_4 – Which of these brands offers a good value for the money?”).
  7. Select the brand Gartells from the list of options.
    After the filter is added, second dropdown in menu allows you to select from a list of brands
  8. Click on the denominator (bottom) count.
    Clicking bottom count, expanding menu where that filter tab is again
  9. Go to the filter tab.
  10. Now, we want to find the “aided awareness” field, because this is the question where the respondent indicated they were aware of the brand. (“Including any of the brands you may have already mentioned, which of the following brands have you heard of?”)
  11. Select the brand Gartells from the list of options.
    Selecting from a list of brands
  12. Repeat these directions for all brands and all attributes.

Setting Up Widgets for Brand Imagery Reporting

Attribute Bar Charts

Horizontal bar chart of brands by imagery - the imagery rating in this case is "is a brand I love"

These charts are created per attribute or per brand, depending on your preferences. In this example, we’ll go through how to add them per attribute, with each brand listed as the different bars of the graph.

  1. Add a Simple Chart to the dashboard.
  2. Enter the chart title.
  3. Set the Chart Type to Horizontal Bar (unless you prefer Vertical).
  4. Click Add Metric.
  5. Click Count.
  6. Change the Metric from Count to the relevant attribute’s custom metric for one of the brands involved.
  7. Change the label to the brand name.
  8. Select the metric Options.
  9. Set the Format to Percent.
  10. Set the Decimal Places. This is usually set to 1 decimal place, but can be none if desired as well. It should be consistent throughout the dashboard as much as possible.
  11. Repeat steps 4 – 10 for each brand’s custom metric.
  12. Set Axis Sorting to Value and adjust so that the brands will be ranked from highest percent to lowest percent.
  13. Set the Axis Value colors so that all competitors are a neutral color and set your brand to your company’s color.
  14. Set the Vertical Range to Min: 0 and Max: 1. This keeps the scale consistent from chart to chart, always showing 0% to 100%.
  15. If desired, enable all Display Options except Show Y Axis and Show Grid Lines.

Trending Line Chart

rainbow line chart

These charts are created per attribute or per brand, depending on your preferences. In this example, we’ll go through how to add them per attribute, since that is also how we formatted our bar chart.

  1. Make a copy of the bar chart you created in the steps above.
  2. Adjust the chart title.
  3. Change the Chart Type to Line.
  4. Click Set Data Series, add the appropriate date field.
  5. Choose the appropriate Group Date By setting.
  6. Click the axis swap button. This will rotate the custom metrics and the date field so that you see the metrics trended over time. You should see the date field as the X-Axis and the Metrics as the Data Series.
  7. Add a filter to the widget.
  8. Select the same date field as in Step 4, and leave it set to All Time (unless you would prefer a rolling time frame).
  9. If desired, enable Show Y Axis and Show Horizontal Grid Lines in the Display Options.

Setting Up a Correspondence Analysis Widget

See the Correspondence Analysis widget support page for exact steps.

Qtip: Set the legend colors to your company’s color palette.

Setting Up a Distinctive Image Associations Widget

See the Distinctive Image Associations widget support page for exact steps.

Setting Up a Radar/Spider Chart

See the Radar Chart widget support page for exact steps.

FAQs